Triple
T27495897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Currahee Regiment |
E694018
|
entity |
| Predicate | associatedLandmark |
P78460
|
FINISHED |
| Object | Currahee Mountain |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Currahee Mountain | Statement: [Currahee Regiment, associatedLandmark, Currahee Mountain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLandmark Context triple: [Currahee Regiment, associatedLandmark, Currahee Mountain]
-
A.
includesLandmark
Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
-
B.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
-
C.
relatedAttraction
Indicates that one attraction is associated with or connected to another attraction in some relevant way.
-
D.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
-
E.
notableSiteAssociatedWith
chosen
Indicates that there is a significant or noteworthy site or location that is associated with, related to, or prominently linked to the given entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: April 27, 2026, 1:08 p.m.